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SaaS · Language App

How a language learning app scaled to 30+ ad variants with zero UGC creators.

A saturated Meta category, a language-learning app with no UGC budget, and a full AI creative pipeline built to keep pace.

Meta Ads AI Avatar UGC Creative Strategy SaaS
Language Learning App 01 / 04
The problem

A saturated Meta category, and no budget for UGC creators.

Bitesy was competing in one of the most crowded categories on Meta — language-learning apps — where every competitor runs the same playbook: talking-head UGC, "I learned Spanish in 30 days" hooks, endless testimonial ads. Bitesy needed volume and variety to stand out, but hiring a roster of UGC creators wasn't an option.

The strategy

Sell confidence, not grammar.

Instead of leading with features or fluency claims, we built hooks around emotional, social stakes — the specific moments where not speaking a language costs you something real: the interview you froze in, the date you couldn't flirt on, the trip where you felt invisible. Grammar was never the sell. Confidence was.

What we made

30+ variants across 6 formats, built on a full AI production pipeline.

  • AI avatar UGC — first-person, testimonial-style delivery
  • Lambo interview — high-stakes, comedic social pressure
  • Talk show format — panel-style credibility
  • Podcast clip format — native, scroll-blending feel
  • Comic book format — stylized, scroll-stopping novelty
  • Q&A format — direct-to-camera objection handling

Every format was rebuilt across multi-ethnicity AI avatars to match Bitesy's actual audience makeup, all produced through a full AI pipeline — no shoots, no creator coordination, no bottleneck.

The outcome

A creative engine that outpaces a saturated category.

Bitesy went from a handful of static concepts to a self-sustaining volume of scroll-stopping, testable variants — without ever booking a single UGC creator.

Results

By the numbers

30+
Ad variants produced
6
Distinct creative formats
2+ yr
Client retention
3
Audience profiles targeted

The work

Language learning app in motion

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